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M2 Optimization for Machine Learning

This page collects the material for the class “Optimization for Machine Learning” (M2 MIDS-M2MO) at Université de Paris Cité. Students following the class should go to the associated Moodle page, which is updated regularly.

All material can be downloaded from here.

Course (Slides)

  1. Introduction
  2. Gradient Descent for smooth problems
  3. Stochastic Gradient Descent for smooth problems
  4. Towards better methods
  5. Nonconvex optimization

Exercises

  1. Gradient Dynamics and Convexity
  2. Stochastic Gradient Descent
  3. Towards Optimal Methods
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